Share-housing allocation information service system based on Pareto optimality

Compared to living alone, sharing housing with others is usually much cheaper. Meanwhile, share-housing life would exert mammoth impact on people's social activity and self development by help them save house rental cost and improve their life quality. This paper proposes an allocation information system for share-housing management, which takes into account preference on roommates' living habits, working performance and geography distribution. Moreover, Pareto optimality is utilized to facilitate the effect of share-housing allocation. Results of case study show that the three factors of living habits, working performance as well as geography distribution should be synthetically applied as a decision support for share-housing.